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Clinical Bioinformatics Jobs in Virginia (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Hampton, VA · Remote

$80 - $110/hr

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Bioinformatics Software Engineer

Roanoke, VA · Remote

$80 - $110/hr

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Bioinformatics Software Engineer

Richmond, VA · Remote

$80 - $110/hr

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Bioinformatics Software Engineer

Suffolk, VA · Remote

$80 - $110/hr

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Bioinformatics Software Engineer

Norfolk, VA · Remote

$80 - $110/hr

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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All JobsClinical Bioinformatics JobsClinical Bioinformatics Jobs in Virginia

Clinical Bioinformatics information

See Virginia salary details

$59K

$93.7K

$148.2K

How much do clinical bioinformatics jobs pay per year?

As of Aug 12, 2026, the average yearly pay for clinical bioinformatics in Virginia is $93,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $128,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in clinical bioinformatics, and why are they important?

Success in Clinical Bioinformatics requires a solid background in bioinformatics or computational biology, knowledge of genetics and genomics, and often a master’s or PhD degree in a related field. Proficiency with tools such as Python, R, next-generation sequencing analysis platforms, and familiarity with clinical data management systems is highly valued, along with relevant certifications like CCBIO or ABMGG when applicable. Strong problem-solving skills, attention to detail, and interdisciplinary communication abilities are critical soft skills. These competencies enable accurate analysis of complex biomedical data, effective collaboration with healthcare professionals, and the translation of genomic information into actionable clinical insights.

What is a clinical bioinformatics?

A Clinical Bioinformatics job involves the application of bioinformatics tools and computational methods to analyze clinical and genomic data for improving patient care. Professionals in this field work with healthcare providers, researchers, and data scientists to interpret complex biological data, often in the context of precision medicine, diagnostics, and treatment planning. They utilize programming, statistical analysis, and machine learning techniques to extract meaningful insights from genetic and molecular datasets. The role is crucial in integrating omics data with clinical practice to support personalized medicine and disease research.

What are the typical daily responsibilities of a clinical bioinformatics?

A Clinical Bioinformatician’s daily tasks often include analyzing and interpreting genomic or molecular data, developing and validating bioinformatics pipelines, and preparing clinical reports to support patient diagnosis and treatment. They work closely with clinicians, laboratory scientists, and IT professionals to ensure that data analyses are accurate and clinically relevant. The role may also involve troubleshooting data quality issues, staying current with evolving technologies, and participating in multidisciplinary meetings. Collaboration and adaptability are key, as work often shifts to address urgent clinical cases or new research findings.

What does a clinical bioinformatics do?

A clinical bioinformatics professional analyzes and interprets biological data, such as genetic sequences, to support medical diagnosis and treatment. They often work with genomic tools, databases, and software to identify disease markers and assist healthcare providers in personalized medicine.
What are the most commonly searched types of Clinical Bioinformatics jobs in Virginia? The most popular types of Clinical Bioinformatics jobs in Virginia are:
What are popular job titles related to Clinical Bioinformatics jobs in Virginia? For Clinical Bioinformatics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Clinical Bioinformatics jobs in Virginia look for? The top searched job categories for Clinical Bioinformatics jobs in Virginia are:
Clinical Bioinformatics jobs near you
Infographic showing various Clinical Bioinformatics job openings in Virginia as of August 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $93,664 per year, or $45 per hour.

Bioinformatics Software Engineer

micro1 AI

Alexandria, VA • Remote

$80 - $110/hr

Part-time

Posted 9 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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